SCHEMAS & DATA MODELLING IN POWER BI
Introduction Effective data management is a critical component of any organisation that aids in smarter, data‑driven business decisions. At the heart of this l...
Introduction Effective data management is a critical component of any organisation that aids in smarter, data‑driven business decisions. At the heart of this l...
Step 1: Cleaning the Data Where the Real Work Happens Whenever I receive sales data, I assume one thing: It’s not ready. Raw data often includes: - Missing cus...
If you are here, you are probably a data scientist, data engineer, or a business owner looking for a powerful, easy‑to‑use business intelligence tool for analys...
Power BI is an interactive data visualization and business intelligence tool developed by Microsoft. It’s part of the Microsoft Power Platform and brings togeth...
Introduction In real‑world analytics projects, data is rarely clean or analysis‑ready. Analysts often receive data from multiple sources with missing values, i...
Introduction Within organizations, data analysts have the crucial task of deriving meaning from various data sets. In its raw form, data does not provide subst...
Data Cleaning in Power BI Some basic tasks include: - Removing duplicates - Handling missing values - Data type conversion - Replacing values DAX – Data Analys...
Preparing and Cleaning Data in Power BI Power BI includes Power Query, a robust tool for preparing and cleaning data before analysis. Clean data helps to: - Pr...
Let’s be honest, no dataset has ever arrived on an analyst's desk completely clean. Not once. In the real world, data usually shows up in a chaotic state—dates...
Introduction Raw data can essentially be branded as “useless” because it is nearly impossible to gain any qualitative or quantitative information regarding the...
Introduction Data modelling, as the name suggests, encompasses restructuring data and creating insightful visuals from cleaned and structured data. In Power BI...
Businesses interact with data periodically as part of their day‑to‑day operations. Raw data is often messy and needs polishing to extract value and ultimately c...